Welcome to the OpenSource Event for IEEE Hacks 2022! This repository aims to be the hub of various ML projects which will be the resources for your fellow ML enthusiasts!
This repository consists of various machine learning projects, and all of the projects must follow a certain template. We hope all contributors will take care of this while contributing in this repository.
Whilst contributing any project, make sure it internally contains the following:
Dataset Folder - This folder stores the dataset used in this project. If the Dataset is not being able to uploaded in this folder due to the large size, then put a README.md file inside the Dataset folder and put the link of the collected dataset in it. That'll work!
Images Folder - This folder is used to store the images generated during the data analysis, data visualization, data segmentation of the project.
Model Folder - This folder would have your:
- project file (that is .ipynb file) be it analysis or prediction.
- 'README.md' explaining the goal of the project, some introduction of the dataset and its link, accuracy and your name
- requirements.txt' file which would be enclosed with all needed add-ons and libraries that are included in the project.
- Star this repository
- Fork the repository
- Clone your forked repository using terminal or gitbash.
- Make changes to the cloned repository
- Add, Commit and Push
- Then in Github, in your cloned repository find the option to make a pull request